Introduction
As a data science specialist at IBM, you'll get to work on the systems that are driving the quantum revolution and the AI era. Join an elite team of engineering professionals who enable IBM customers to make better decisions quicker on the most trusted hardware platform in today's market.
Your Role And Responsibilities
We are seeking highly motivated Data science engineer to be part of Hardware team. Join a great team of engineering professionals who are involved in data analysis for IBM's chip design team.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Strong foundation in probability, statistics, hypothesis testing, and experimental design.
- Hands-on experience in creating plots and charts to find out insights, patterns, trends and outliers .
- Proficiency in Python and libraries like Pandas, NumPy, SciPy, scikit-learn, and matplotlib/plotly.
- Hnads - on experience in SQL, Statistics, Plotting (python or tools like tableau, powerBI), ML
- Experience in collaborating with design and reliability hardware teams.
- Knowledge of SQL to query large volume of wafer/chip level data and ability to manage large-scale structured/unstructured datasets.
- Experience in building data pipelines and dashboards for monitoring of test results and performance metrics and communicate findings through clear visualizations, reports, and presentations .
- Demonstated understanding to connect data insights to yield, defects, and performance factors
- Knowledge of Machine leaning for yield prediction, defect detection, and performance correlation and yied improevement
- Proficient analytical skills for problem-solving
- Excellent team player and good communication skills
Preferred Technical And Professional Experience
Knowledge in VLSI domain and concepts is an advantage
Understand of basic concepts in semiconductor industry and hardware test data analysis.
